Collaborative Learning

We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choos

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different ap

We live in a world in which Google's search algorithms determine how we access information, Facebook's News Feed algorithms shape how we socialize, and Netflix collaborative filtering algorithms choos

This book opens up new lines of debate in language learning and intercultural communication through an investigation of tandem language learning (a method of language learning based on mutual language

From 1985 to 2001, the collaborative research initiative known as the Bannu Archaeological Project conducted archaeological explorations and excavations in the Bannu region, in what was then the North

The book covers tools in the study of online social networks such as machine learning techniques, clustering, and deep learning. A variety of theoretical aspects, application domains, and case studies

Bringing together an international team of researchers, this volume explores practice in second language learning - activities which aim to develop skills in or knowledge of a second language. The book begins with two theoretical overviews of practice as applied to learning to speak in a second language and in cognitive accounts of second language acquisition. This theory underpins the volume, which is split into two main sections: receptive and productive practice. The studies look at practice in English, German and Spanish as a second language in various contexts including traditional classrooms, periods of study abroad and online language learning. The differing research designs used mean that the chapters contain clear implications for classroom pedagogy and further directions for research, teaching and learning in different contexts.

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system

Teaching and learning are a set of principles that promote effective knowledge sharing and its acquisition by students. Learning is a cognitive practice that requires proper organization of knowledge

This stimulating open access volume details the innovative work of the Pan Institution Network for Global Health in creating collaborative research-based answers to large-scale health issues. Equitabl

Developing Practice Capability: Transforming Workplace Learning explores a Crucible Model for Professional Development as a means for better understanding workplace learning as a place for capability

Developing Practice Capability: Transforming Workplace Learning explores a Crucible Model for Professional Development as a means for better understanding workplace learning as a place for capability

This collaborative research project allows for fundamental advances not only in the understanding of the phenomena but also in the development of practical calculation methods that can be used by engi

Semiotic Theory of Learning asks what learning is and what brings it about, challenging the hegemony of psychological and sociological constructions of learning in order to develop a burgeoning litera

Teacher Educators’ Professional Learning in Communities explores teacher educators' professional development in the communal model of learning. Learning in groups has proved to be a major avenue for s

Focus the power of your collaborative school community with powerful coaching conversations! Effective coaching conversations are powerful tools to rally your school-community stakeholders to w

Social anthropologist Jean Lave and computer scientist Etienne Wenger’s seminal Situated Learning helped change the fields of cognitive science and pedagogy by approaching learning from a novel angle.

A collaborative series with the University of Cambridge Faculty of Education highlighting leading-edge research across Teacher Education, International Education Reform and Language Education.

This book makes unique contributions to the field of practice and understanding of job-embedded learning as it presents findings from seven dissertations that examined aspects of professional learning

This book makes unique contributions to the field of practice and understanding of job-embedded learning as it presents findings from seven dissertations that examined aspects of professional learning

As researchers become increasingly interested in studying the lives of children in antiquity, this volume argues for the importance of a collaborative biocultural approach. Contributors draw on fields

The first reference book to introduce the concept and development of service-learning in China, Service-Learning as a New Paradigm in Higher Education of China provides a full picture of the infusion

The New York Times bestselling authors of The Carrot Principle and All In deliver a breakthrough, groundbreaking guide for building today's most collaborative teams-so any organization can operate at

Philosophy and Education: Engaging Pathways to Meaningful Learning represents a philosophical approach to learning. It encourages students to think critically and form well-reflected opinions around r

This practical guide to artificial intelligence and its impact on industry dispels common myths and calls for cross-sector, collaborative leadership for the responsible design and embedding of AI in t

Activists under 30: Global Youth, Social Justice, and Good Work is a unique book, written about youth, written by youth, celebrating youth activism in the 21st Century. A collaborative book joining th

"This book explores new interactive platforms that contain elements related to these senses so that learning is more complete and dynamic between teacher and student. It shows new learning platforms,

This volume sheds light on debates about personalised learning in teacher education by exploring the popular emergence of personalising learning in education and hence its significance in teacher educ

‘Behavioral Neuroscience of Learning and Memory’ brings together the opinions and expertise of some of the world’s foremost neuroscientists in the field of learning and memory research. The volume pro

Who says learning can’t be fun? Summer Bridge Learning for Minecrafters, Bridging Grades K to 1 will keep your kindergartener’s skills fresh all summer long and help them start the school year with a

Who says learning can’t be fun? Summer Bridge Learning for Minecrafters, Bridging Grades 1 to 2 will keep your first grader’s skills fresh all summer long and help them start the school year with a cl

A detailed guide to the collaborative method developed by the acclaimed creators of The Laramie Project and Gross Indecency--destined to become a classic. A Vintage Original.Moment Work is an impassio

The first monograph on Snarkitecture, a New York-based collaborative and innovative design studioFast becoming one of the world's most sought-after studios, Snarkitecture has designed installations, a

An introduction to machine learning that includes the fundamental techniques, methods, and applications Machine Learning: a Concise Introduction offers a comprehensive introduction to the core concept

Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine learning community. Various machine learning problems such as non-stationarity adaptation, outlier detection, dimensionality reduction, independent component analysis, clustering, classification and conditional density estimation can be systematically solved via the estimation of probability density ratios. The authors offer a comprehensive introduction of various density ratio estimators including methods via density estimation, moment matching, probabilistic classification, density fitting and density ratio fitting, as well as describing how these can be applied to machine learning. The book provides mathematical theories for density ratio estimation including parametric and non-parametric conve

This integrated collection of perspectives on the spaces of teaching and learning uses ‘learning space’ to place educational practice in context. It considers the complex relationships involved in the

Machine learning can be a difficult subject if you’re not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the sta

Learning Architectures in Higher Education restores criticality and rigour to the study of communities of practice as a means of understanding learning, acknowledging that this is one of the most

Inquiry, laboratory, project-based learning, discovery learning—which science instructional approach is most effective? In Visible Learning for Science, the authors reveal that it’s not wh

Drawing from research in developmental and educational psychology, cognitive science, and the learning sciences, Five Teaching and Learning Myths—Debunked addresses some of the most commonly misunders